Soft robotics, an emerging field, focuses on creating flexible and adaptable robots inspired by the pliability found in living organisms. Developed through advancements in materials and fabrication techniques, soft robots offer unique capabilities such as delicate object manipulation and safe human interaction. With applications ranging from healthcare to manufacturing, soft robotics holds great potential for revolutionizing industries and addressing challenges beyond the reach of traditional rigid robots. Soft robots have traditionally drawn inspiration from animals, but recently, the potential of plants as biological role models for soft robotics due to their continuous and energy-efficient actuation has been unleashed. Particularly noteworthy is the Venus flytrap's rapid and energy-efficient snapping mechanism, which researchers are now emulating to create biomimetic grippers [1]. By replicating the plant's soft structure and swift closure, these grippers aim to delicately grasp objects with precision and efficiency, showcasing the evolving landscape of soft robotics and its diverse sources of inspiration. In the design of biomimetic grippers inspired by the Venus flytrap, computer simulations play a key role in understanding the motion mechanisms of the biological role model. Employing a reverse biomimetics approach, simulation based on finite elements enable to decipher the plant's rapid and energy-efficient snapping mechanism [2], guiding the initial stages of gripper design. Insights gained from computational models enable to optimize the soft robotic gripper's performance, including aspects such as closure speed, force exertion, and energy efficiency. This contribution presents the simulation-driven design process of a soft robotic Venus flytrap gripper, inspired by the efficient and rapid prey capture mechanism of the Venus flytrap. Employing simulation and computational mechanics, we present a comprehensive study on the development of such a gripper, with a focus on reverse biomimetics.